Arizona State University
Masters in Computer Science
CGPA 4/4
Vellore Institute of Technology
Bachelors in Electronics and Communication Engineering
CGPA 9.17/10
Hyderabad Public School
High School
University of Saskatchewan
2018 Mitacs Scholar Intern
Worked on an IoT project to monitor the quality of a lake. While designing this network architecture, I have used 4G and Bluetooth in the Libelium Waspmotes
Corporate Gurukul
2018 Academic Intern at NTU
Worked on Hadoop and creating multi node cluster for solving big data problems.
Indian Institute of Technology,Mandi
Research Intern
Created a cost effective weather monitoring model using Zigbee and nRF communication boards.
Project Work
A true test of experience and knowledge can be known by the quality of projects being done. As a person who believes in learning by doing, I have built many projects to understand the concepts.
Privacy aware LIDAR network
A machine learning model to process LIDAR data to output the count of number of people present in a region.
Out of Domain Generalization
Pre-trained and Fine-tuned a T5 model to perform sorting and other operations on numbers that are out of domain
Meal Detection
Used clustering and classification techniques to detect if a person has consumed meal based on the measured insulin levels
Random Subset Feature Selection
Contributed to a package to perform dimensionality reduction (RSFS) to Pypi.
Family Tree Software
Developed a full stack software using graph database to traverse a family tree.
Covid-19 Data Visualization
Used Tableau to visualize the Covid-19 infections and death count from the dataset.
Blogs
Some of my project learnings and other experiences are condensed into articles that are posted at my medium website. All the articles written by me can be found here
Random Subset Feature Selection: A dimensionality reduction approach
Some of my findings using the dimensionality subset feature selection algorithm are reported in this medium article.
10 most used functions in Gremlin
Some of the most useful functions that I have used while creating the family tree are written in this article.
Research Papers
Some of my publications in the field of machine learning showing my application of novel machine learning concepts to problem solving. The full list of my publications can be seen here.
Analysis to predict Coronary Thrombosis using Machine Learning
International Conference on Sustainable Computing and Data Communication Systems 2022
Ensemble Methods for Scientific Data—A Comparative Study
Information and Communication Technology for Competitive Strategies (ICTCS 2020)
Get in touch
If you liked my work, and would like to contact me please use the following social handles to connect with me.
Professional Digital Footprints
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Email
gksriharsha@gmail.com